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- Title
Multi-Consensus of Nonlinearly Networked Multi-Agent Systems.
- Authors
Li, Juan; Guan, Zhi‐Hong; Chen, Guanrong
- Abstract
In this paper, a multi-consensus problem for networked multi-agent systems in a weighted and directed graph with a nonlinear protocol is investigated. By using convergence theory, matrix theory and the method of Lyapunov functions, a sufficient condition for the networked multi-agent systems to achieve multi-consensus is derived. And the agreement of each group is studied. A feedback controller for the networked multi-agent systems is then designed to drive the system to achieve multi-consensus. Numerical simulations illustrate the effectiveness of the theoretical results.
- Subjects
MULTIAGENT systems; NONLINEAR network analysis; NONLINEAR functions; STOCHASTIC convergence; LYAPUNOV functions; FEEDBACK control systems
- Publication
Asian Journal of Control, 2015, Vol 17, Issue 1, p157
- ISSN
1561-8625
- Publication type
Article
- DOI
10.1002/asjc.809